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Volumn 2, Issue , 2004, Pages 1232-1238

New estimation scheme of the arbitrary rotor position at standstill for the sensorless switched reluctance motor drive

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC DRIVES; ELECTRIC POTENTIAL; NATURAL FREQUENCIES; RELUCTANCE MOTORS; TORQUE;

EID: 8744307222     PISSN: 02759306     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (7)
  • 3
    • 0034313357 scopus 로고    scopus 로고
    • Indirect angel estimation in switched reluctance motor drives using fuzzy logic based motor model
    • November
    • N. Ertugrul and A. D. Cheok, "Indirect Angel Estimation in Switched Reluctance Motor Drives Using Fuzzy Logic Based Motor Model", IEEE Transactions on Power Electronics, Vol. 15, No. 6, pp. 1029-1044, November 2000.
    • (2000) IEEE Transactions on Power Electronics , vol.15 , Issue.6 , pp. 1029-1044
    • Ertugrul, N.1    Cheok, A.D.2
  • 4
    • 0035078890 scopus 로고    scopus 로고
    • Eliminating starting hesitation for reliable sensorless control of switched reluctance motors
    • January/February
    • J. Bu and L. Xu, "Eliminating Starting Hesitation for Reliable Sensorless Control of Switched Reluctance Motors", IEEE Transactions on Industrial Applications, Vol. 37, No. I, pp. 59-66, January/February 2001.
    • (2001) IEEE Transactions on Industrial Applications , vol.37 , Issue.1 , pp. 59-66
    • Bu, J.1    Xu, L.2
  • 7
    • 2342646331 scopus 로고    scopus 로고
    • A self-training numerical method to calculate the magnetic characteristics for switched reluctance motor drives
    • March
    • X. D. Xue, K. W. E. Cheng, and S. L. Ho, "A Self-Training Numerical Method to Calculate the Magnetic Characteristics for Switched Reluctance Motor Drives", IEEE Transactions on Magnetics, Vol. 40, No. 2, March 2004.
    • (2004) IEEE Transactions on Magnetics , vol.40 , Issue.2
    • Xue, X.D.1    Cheng, K.W.E.2    Ho, S.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.